Back

Spatio-temporal propagation of COVID-19 pandemics

Gross, B.; Zheng, Z.; Liu, S.; Chen, X.; Sela, A.; Li, J.; Li, D.; Havlin, S.

2020-03-27 epidemiology
10.1101/2020.03.23.20041517
Show abstract

The new coronavirus known as COVID-19 is spread world-wide since December 2019. Without any vaccination or medicine, the means of controlling it are limited to quarantine and social distancing. Here we study the spatio-temporal propagation of the first wave of the COVID-19 virus in China and compare it to other global locations. We provide a comprehensive picture of the spatial propagation from Hubei to other provinces in China in terms of distance, population size, and human mobility and their scaling relations. Since strict quarantine has been usually applied between cities, more insight about the temporal evolution of the disease can be obtained by analyzing the epidemic within cities, especially the time evolution of the infection, death, and recovery rates which affected by policies. We study and compare the infection rate in different cities in China and provinces in Italy and find that the disease spread is characterized by a two-stages process. At early times, at order of few days, the infection rate is close to a constant probably due to the lack of means to detect infected individuals before infection symptoms are observed. Then at later times it decays approximately exponentially due to quarantines. The time evolution of the death and recovery rates also distinguish between these two stages and reflect the health system situation which could be overloaded.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Scientific Reports
based on 701 papers
Top 6%
13.8%
2
PLOS ONE
based on 1737 papers
Top 38%
13.0%
3
Chaos, Solitons & Fractals
based on 17 papers
Top 0.4%
7.9%
4
Epidemics
based on 96 papers
Top 2%
4.7%
5
Infectious Disease Modelling
based on 50 papers
Top 2%
4.7%
6
Frontiers in Physics
based on 11 papers
Top 0.1%
4.7%
7
Journal of Theoretical Biology
based on 29 papers
Top 0.4%
3.1%
50% of probability mass above
8
Frontiers in Public Health
based on 135 papers
Top 8%
3.1%
9
Mathematical Biosciences
based on 15 papers
Top 0.4%
2.9%
10
Royal Society Open Science
based on 49 papers
Top 2%
2.5%
11
Journal of The Royal Society Interface
based on 54 papers
Top 2%
2.4%
12
Science
based on 46 papers
Top 3%
1.8%
13
Mathematical Biosciences and Engineering
based on 14 papers
Top 0.9%
1.6%
14
PLOS Computational Biology
based on 141 papers
Top 7%
1.4%
15
Bulletin of Mathematical Biology
based on 17 papers
Top 1%
1.4%
16
Biology
based on 11 papers
Top 0.5%
1.4%
17
Epidemiology and Infection
based on 80 papers
Top 7%
1.4%
18
International Journal of Environmental Research and Public Health
based on 116 papers
Top 18%
1.2%
19
Heliyon
based on 57 papers
Top 8%
1.2%
20
Nature Communications
based on 483 papers
Top 40%
0.8%
21
Journal of Clinical Medicine
based on 77 papers
Top 15%
0.8%
22
EClinicalMedicine
based on 21 papers
Top 2%
0.7%
23
BMC Public Health
based on 148 papers
Top 24%
0.7%
24
Science Advances
based on 52 papers
Top 6%
0.7%
25
PeerJ
based on 46 papers
Top 12%
0.7%
26
Proceedings of the National Academy of Sciences
based on 100 papers
Top 14%
0.7%